Particle-Scale Simulation of Solid Mixing Characteristics of Binary Particles in a Bubbling Fluidized Bed

Junjie Lin, Kun Luo, Shuai Wang, Liyan Sun and Jianren Fan
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Junjie Lin: Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Kun Luo: Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Shuai Wang: Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Liyan Sun: Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Jianren Fan: Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China

Energies, 2020, vol. 13, issue 17, 1-19

Abstract: The behavior of solid mixing dynamic is of profound significance to the heat transfer and reaction efficiencies in energy engineering. In the current study, the solid mixing characteristics of binary particles in the bubbling fluidized bed are further revealed at particle-scale. Specifically, the influences of gas superficial velocity, Sauter mean diameter (SMD) in the system and the range distribution of particle sizes on the performance of mixing index are quantitatively explored using a computational fluid dynamics-discrete element method (CFD-DEM) coupling model. The competition between solid segregation and the mixing of binary particles is deeply analyzed. There is a critical superficial velocity that maximizes the mixing index of the binary mixture in the bubbling fluidized bed. Solid mixing performs more aggressive when below the critical velocity, otherwise solid segregation overtakes mixing when above this critical velocity. Moreover, superficial velocity is a major factor affecting the mixing efficiency in the binary bubbling fluidized bed. Additionally, the mixing behavior is enhanced with the decrease of SMD while it is deteriorated in the binary system with a wide range of particle size distribution. Therefore, it is highly recommended to perform a binary particle system with smaller SMD and closer particle size distribution for the purpose of enhancing the mixing behavior. The significant understanding of mixing characteristics is expected to provide valuable references for the design, operation, and scale-up of binary bubbling fluidized bed.

Keywords: binary particles; mixing characteristic; CFD-DEM; bubbling fluidized bed (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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